معرفی
Oleksandra Poquet is a Professor in the Department of Learning Analytics at the Technical University of Munich (TUM). Her research focuses on learning analytics, educational technology, and the application of network science to understand learning dynamics. She leads the Professorship for Learning Analytics, exploring how data and AI can enhance educational practices in universities and workplaces.
Her work emphasizes understanding student interactions in online environments, including forum dynamics, social network formation, and the impact of technologies like LLMs (Large Language Models). She investigates topics such as data-sharing decisions, gender citation biases, and the role of self-regulation in online learning.
Key research trends in her articles include analyzing socio-temporal dynamics in online discussions, integrating AI with learning analytics tools (e.g., dashboards), and evaluating the ethical implications of AI adoption in education. She has also explored how hybrid data-driven approaches can address challenges in corporate training and university education.
While no specific scientific awards are listed, her contributions to defining frameworks for learning analytics and network analysis in education are notable. She actively participates in collaborative research initiatives, such as the NetSciLA22 workshop, to advance interdisciplinary dialogue.
Her work extends to intergroup dialogue facilitation online, highlighting both technological opportunities (e.g., scalable platforms) and limitations (e.g., self-regulation barriers). She collaborates with industry leaders to apply learning analytics in corporate sectors, focusing on workforce development.
